Cover Image

Diffusion-based Perceptual Neural Video Compression with Temporal Diffusion Information Reuse

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ma, Wenzhuo, Chen, Zhenzhong
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DiffVC-OSD: One-Step Diffusion-based Perceptual Neural Video Compression Framework
by: Ma, Wenzhuo, et al.
Published: (2025)

Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder
by: Ma, Yiyang, et al.
Published: (2024)

Exploring Long- and Short-Range Temporal Information for Learned Video Compression
by: Wang, Huairui, et al.
Published: (2022)

Image Motion Blur Removal in the Temporal Dimension with Video Diffusion Models
by: Pang, Wang, et al.
Published: (2025)

Exploring Compressed Image Representation as a Perceptual Proxy: A Study
by: Huang, Chen-Hsiu, et al.
Published: (2024)

NeuralLVC: Neural Lossless Video Compression via Masked Diffusion with Temporal Conditioning
by: Uricchio, Tiberio, et al.
Published: (2026)

Lossy Image Compression with Conditional Diffusion Models
by: Yang, Ruihan, et al.
Published: (2022)

Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
by: Elata, Noam, et al.
Published: (2024)

Insights from Generative Modeling for Neural Video Compression
by: Yang, Ruihan, et al.
Published: (2021)

Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic Models
by: Zhang, Ling-Qi, et al.
Published: (2024)

CVEGAN: A Perceptually-inspired GAN for Compressed Video Enhancement
by: Ma, Di, et al.
Published: (2020)

TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI
by: Litrico, Mattia, et al.
Published: (2024)

Nuclear Diffusion Models for Low-Rank Background Suppression in Videos
by: Stevens, Tristan S. W., et al.
Published: (2025)

Neural Approximate Mirror Maps for Constrained Diffusion Models
by: Feng, Berthy T., et al.
Published: (2024)

Toward Lightweight and Fast Decoders for Diffusion Models in Image and Video Generation
by: Buzovkin, Alexey, et al.
Published: (2025)

Rethinking Perceptual Metrics for Medical Image Translation
by: Konz, Nicholas, et al.
Published: (2024)

Drop-In Perceptual Optimization for 3D Gaussian Splatting
by: Ozyilkan, Ezgi, et al.
Published: (2026)

Rethinking Video Super-Resolution: Towards Diffusion-Based Methods without Motion Alignment
by: Zhan, Zhihao, et al.
Published: (2025)

Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow Fields
by: Yilmaz, Rüveyda, et al.
Published: (2024)

Timestep-Aware Diffusion Model for Extreme Image Rescaling
by: Wang, Ce, et al.
Published: (2024)

Ultrasound Imaging based on the Variance of a Diffusion Restoration Model
by: Zhang, Yuxin, et al.
Published: (2024)

Diffusion based Zero-shot Medical Image-to-Image Translation for Cross Modality Segmentation
by: Wang, Zihao, et al.
Published: (2024)

Accelerating Diffusion Transformer via Increment-Calibrated Caching with Channel-Aware Singular Value Decomposition
by: Chen, Zhiyuan, et al.
Published: (2025)

Diffusion Posterior Proximal Sampling for Image Restoration
by: Wu, Hongjie, et al.
Published: (2024)

ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration
by: Hsiao, Chi-Wei, et al.
Published: (2024)

Learned HDR Image Compression for Perceptually Optimal Storage and Display
by: Cao, Peibei, et al.
Published: (2024)

MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation
by: Mittal, Avni, et al.
Published: (2025)

Learning to reconstruct the bubble distribution with conductivity maps using Invertible Neural Networks and Error Diffusion
by: Kumar, Nishant, et al.
Published: (2023)

StainFuser: Controlling Diffusion for Faster Neural Style Transfer in Multi-Gigapixel Histology Images
by: Jewsbury, Robert, et al.
Published: (2024)

Extreme Video Compression with Pre-trained Diffusion Models
by: Li, Bohan, et al.
Published: (2024)

Diffusion Enhancement for Cloud Removal in Ultra-Resolution Remote Sensing Imagery
by: Sui, Jialu, et al.
Published: (2024)

Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection
by: Yang, Ying, et al.
Published: (2024)

Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising
by: Yoon, Siyeop, et al.
Published: (2024)

Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images
by: Liman, Michelle Espranita, et al.
Published: (2024)

Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
by: Ma, Yiyang, et al.
Published: (2023)

High Perceptual Quality Wireless Image Delivery with Denoising Diffusion Models
by: Yilmaz, Selim F., et al.
Published: (2023)

Deep learning based Image Compression for Microscopy Images: An Empirical Study
by: Zhou, Yu, et al.
Published: (2023)

Diffusion MRI with Machine Learning
by: Karimi, Davood, et al.
Published: (2024)

Idempotence and Perceptual Image Compression
by: Xu, Tongda, et al.
Published: (2024)

High-Frequency Space Diffusion Models for Accelerated MRI
by: Cao, Chentao, et al.
Published: (2022)